All AI news

AIGoogle Cloud has introduced the Gemini agent, a single cloud-hosted agent that handles Q&A, knowledge work, media creation, and coding from one prompt box and one API. It routes jobs across Gemini and Claude models today, with other private and open models planned. Governance covers per-agent identity, role-based access, audit logging, and hard per-project spend caps, but the source gives no reproducible benchmarks, pricing, or general availability date.

AIUnderdog has released Saluki 27B under Apache 2.0, a 2-bit GGUF of Qwen3.8-27B that fits in 7.89 GB, versus 54 GB for the full BF16 model. On Underdog Bench, Saluki scores 88 against 84 for the full model, and it raises parallel tool-call accuracy to 42 from 35. It runs on stock llama.cpp, but math and reasoning drop sharply, with AIME 2025 at 79.2 versus 96.7.

AIOpenAI told investors it expects $50bn in revenue this year, about $20bn less than the $70bn it had signalled last month. The gap stems partly from comparing with Anthropic, which counts revenue sold through cloud partners such as AWS and Google Cloud, while OpenAI does not. The news weighed on US tech stocks, and OpenAI is in early talks to raise $30bn at a valuation of about $1.4tn.

AIOpenAI exposed a Russian and an Iranian influence operation and banned the ChatGPT accounts involved, both of which planted content in legitimate media using fake identities. The Iranian operation, "Bogus Bylines," used seven fake journalists to place nearly 100 articles about the US-Iran conflict, while the Russian "Dark Clark" operation triggered fact-checks and official denials in Ecuador and Peru. Both operations used AI mainly for internal reporting and adapting propaganda to different languages.

AITencent has open-sourced Youtu-Parsing-Omni, a 5B-parameter omni-modal model that outputs a single structured JSON covering layout, text, tables, formulas, ASR, OCR, and video segments. It scores 96.96 Overall on OmniDocBench, the highest among the compared models, and ships with weights on Hugging Face, a vLLM plugin, and inference examples.

AINVIDIA published the Agile One S SSD Pick deployment model, GR00T N1.7 checkpoint 40000, on Hugging Face for SSD pickup tasks. The repository includes five ONNX graphs with external tensor files and two existing TensorRT BF16 engines, with original configurations and build metadata, but no retraining or re-export was performed. The files are not a robot deployment or safety qualification, and engine compatibility depends on the target GPU and TensorRT environment.

AINVIDIA has released a deployment model for Agile One S SSD pickup, based on GR00T N1.7 checkpoint 58000 and using three cameras: ego, left wrist, and right wrist. The repository republishes ONNX graphs, external tensor files, and two existing TensorRT BF16 engines without retraining or re-export, and the original export reported a numerical warning that full FP32, node, and BF16 parity did not pass all tolerances. The files are not a certified robot deployment or safety qualification.

AINVIDIA published the Agile One S Walk GR00T N2 checkpoint 1680, a walking deployment model with four cameras, on Hugging Face. The repository includes ONNX graphs, TensorRT BF16 plans/engines, and the original checkpoint files, republished without retraining or re-export. The shared Cosmos-Reason1-7B dependency and the Isaac/GR00T runtime must be set up separately, and the files are not a robot safety qualification.

AINVIDIA published the nvidia/agile_one_s_place_ssd_n17_24050 repository on Hugging Face, containing a GR00T N1.7 checkpoint 24050 model for placing an SSD with three cameras. The repository includes five ONNX graphs with external tensor files and two existing TensorRT BF16 engines, republished without retraining, re-export, or engine rebuild. Engine compatibility depends on the target GPU and TensorRT environment, and the files are not a robot deployment or safety qualification.

AIHarrison Chase's post is titled "eval driven development," presenting evals as a development approach. The main post gives no further detail beyond the title. The quoted context from Jerry Liu argues that most tasks can be solved by defining an eval and hillclimbing over it rather than hand-building a deterministic or agentic workflow.

AIHarrison Chase argues that eval-driven development works for narrowly scoped tasks but breaks down for more autonomous agents, invoking Goodhart's Law that a measure ceases to be useful once it becomes a target. He asks how such agents can be hill-climbed, and the post does not provide an answer.

AIOpenAI's GPT-6.1 Sol Ultrafast is rolling out in the API, Codex, and ChatGPT Work, running up to 8x faster than Sol Standard at $12/$60 per million tokens. StepFun's Step 5 Preview, a 600B-parameter MoE model with 27B active parameters, is now on OpenRouter, and JetBrains released the open 12B MoE coding model Mellum2.1 under Apache 2.0.

AIOpenAI has made GPT-6 available to all ChatGPT free and paid users worldwide, replacing GPT-5.6 SOL and GPT-5.6 LUNA. The model integrates Astra safety improvements that strengthen safeguards against misuse in cyber, biological, and violent domains.

AIMagnific asks X users to drop their portraits in replies to join its Magnific One breakfast club. The background post promotes Magnific One as a way to bring art direction into image generation, with unlimited use in Magnific Desktop until October 15.

AIA study led by Google and BIDMC tested Google's diagnostic AI chatbot AMIE with 98 outpatients before emergency visits, with a supervising doctor monitoring every exchange. No conversation needed interruption under the predefined safety criteria, and clinicians said AI summaries helped them prepare for 75% of visits. AMIE's differential diagnoses matched final diagnoses 90% of the time, but the authors say larger trials are needed.

AIJetBrains released Mellum2.1, a 12B mixture-of-experts coding model with 2.5B active parameters under Apache 2.0, emphasizing agentic programming. Under high load, its inference throughput in tokens is nearly twice that of Qwen3.5-9B in JetBrains' comparison, and multi-token prediction (MTP) speeds single-request responses by about 1.6x. The model is available on Hugging Face for local or private-infrastructure deployment, with GGUF and vLLM MTP support announced for later.

AIOdyssey announced the Odyssey-3 series of foundation world models, with Odyssey-3 Pro scoring 66.1 on the Physics-IQ Verified video-to-video benchmark, the highest recorded on that leaderboard. The series includes a standard version balancing physical accuracy and generation cost, and a Pro version with stronger physics prediction. The preview supports first-person and third-person navigation and lets users move the camera, take actions, or trigger events while the model predicts environmental changes in real time.

AIRichard Yu said more Huawei phones will adopt LogicFolding chips built under the Tau Scaling Law, though no models or timetable were given. He said the Kirin 9050 Pro's performance is 31% higher than its predecessor, and the source outlines a roadmap reaching 5.0 GHz by 2031.

AIHuawei-backed openJiuwen has open-sourced AgentOS for Enterprise under Apache 2.0 on GitHub and AtomGit, targeting multi-agent coordination, memory-based self-evolution, multi-tenant isolation and fault recovery. Huawei Connect 2026 also introduced an all-in-one appliance built on it, which the launch information says enables an end-to-end private deployment in hours.

AIByteDance's AI development brand TRAE has merged its TraeWork and TraeCode clients into a single product with Agent and IDE modes. TraeWork will stop service on October 23, and users who have not upgraded by then will lose access, while chat history, account data and commercial credits migrate automatically.

AIKingKong Technology has open-sourced the software stack for Jumper, a six-legged crab-style robot it designed, including its MuJoCo model, simulation scenes, reinforcement learning training and deployment tooling. Jumper has 22 degrees of freedom, measures about 400 by 400 by 200 mm, weighs about 1.8 kg and lists a maximum jump height of 400 mm or more. The mechanical CAD files, bill of materials, PCB designs and electrical schematics are not public, and RKNN inference on the real board has not yet been validated.

AIByteDance's Doubao Work has added an infinite creation canvas that places source materials, design options and finished output on one page, wired to the new Seedream 5.0 Flash image model. The update also adds Doubao 2.1 Lite, a lighter model aimed at everyday office tasks such as documents, spreadsheets and slide decks, with faster responses and lower credit consumption. The announcement included no benchmark results for either model.

AIAfter visiting Google, the author says the company's employee care is extremely generous, from lunch to concern for body hair, with costs unconsidered. The post claims the Chinese office even serves whole soft-shell turtles at lunch, and says Google is a better workplace than companies that subject staff to PUA.

AIShares of Chinese optical chipmakers fell for a second straight session on Friday amid fears of potential US trade curbs on next-generation optical transceivers for data centres. China's CSI 300 Index slid 1.3 per cent by midday to its lowest level since August last year, with upstream laser chip suppliers falling more steeply than downstream transceiver makers.

AITom Watson, now a senior vice-president at Palantir, warned UK ministers against letting "mob rule" dictate public procurement, saying they could get "in a lot of trouble" if they do. The former Labour deputy leader's comments come as Prime Minister Andy Burnham faces pressure to drop Palantir from government contracts, including a £330m NHS software deal.

AIOpenAI defended its decision to fire three safety researchers, Jasmine Wang, Tomek Korbak and Mikita Balesni, saying they committed a "significant breach of trust." The company said the dismissals were not about the researchers raising safety concerns, though it agreed with the letter they sent to board members and safety committees about preserving the monitorability of frontier models.

AIHarrison Chase says trajectory labeling should be split into several questions rather than one pass/fail judgment. LangChain's Jev judge in LangSmith Evals answers difficulty and correctness as separate typed outputs in a single pass on every trace.

AIJerry Liu argues that most tasks can now be solved by defining an eval and hillclimbing on it, rather than hand-coding a deterministic or agentic workflow. He says data provider companies are building evals across economic activity so frontier models can handle more work, leaving developers to define goals and success measures. He expects agent interfaces to compress most tasks into goals and eval instructions, while the most complex processes will still need explicit workflow builders.

AIKolig is now live on Product Hunt, presented as an office for AI teammates that know a company and work together. The post's creator asks for support and honest feedback after a lot of design and rebuilding work.

AISupaYatta is a Mac app that alerts Claude Code and Codex users when an agent turn finishes or needs their input, displayed in the Mac notch. It also previews replies and questions and offers one-click return to the right session, with usage bars for Claude and Codex. The launch price is $5 for the first 50 copies, then $7.

AIThe sixth installment of the seven-layer "Carbon-Silicon Dao Code: Cross-Domain Migration Governance Code" proposes a civilization-scale risk audit layer for detecting slow, irreversible disturbances from AI cross-domain migration.

AIThe seventh and final layer of the "Carbon-Silicon Dao Code" cross-domain migration governance framework sets a self-audit baseline, opens falsification terms, and defines the framework's applicability boundary. The article says it validates each layer's input-output consistency backward from layer seven to layer one, and it allows anyone who constructs a reproducible, traceable counterexample targeting NT1–NT4 to submit it for baseline review. It also archives the framework's documents and versions with hashes across Toutiao, Douyin, and GitHub.

AIThe vLLM Semantic Router team has released Decision 2.0, which answers multiple questions about one input in a single forward pass and outputs per-option probabilities. The post presents this as useful for routing and classification. A quoted post from Xunzhuo Liu says Decision 2.0 includes six open decision models ranging from 0.6B to 27B parameters, each topping same-size open models on the Jev Decision Index 0.3.

AIOpenAI says it parted ways with researchers Jasmine, Mikita, and Tomek after an internal investigation found they violated policies on handling sensitive information. The company says the decisions were not about raising safety concerns, which it says it encourages, and that it has not terminated any employee for raising concerns. OpenAI also says it is finalizing contracts with third-party safety assessors and will announce details in the coming weeks.